A Novel Three-Dimensional Indoor Localization Algorithm Based on Multi-Sensors

Abstract

With the wildly application of the mobile internet, the market of location-based services is growing rapidly. At present, the main current method of indoor location is based on the finger point position technology of wireless local area network (WLAN), and combined with a fusion algorithm of pedestrian dead reckoning (PDR). Furthermore, due to the spread characteristics of Wi-Fi signal, there are some weak signal zones and even blind zones. This paper proposes a novel indoor localization algorithm. The algorithm combines the multi-finger point technology, geomagnetic navigation and inertial navigation, and uses the advantages of each technology to complement each other, to achieve the series, seamless, and three dimensions indoor location. Through the algorithm simulation and contrast analysis of experiment, the algorithm given in this paper has showed that the average positioning accuracy has improved nearly 37 %, the average positioning error can reach 2.72 m and the new algorithm has a 100 % coverage area rates in comparison with KNN\W-KNN\PDR and their fusion algorithm, which has proved the feasibility and effectiveness of this new fusion algorithm.